126 citations · 592 across the 53 of their papers we have counts for
13 papers · 1 filter
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
Juan Pablo Agnelli, Fernando S. Moura, Siiri Rautio +4
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined…
CT scans without X-rays: parallel-beam imaging from nonlinear current flows
Melody Alsaker, Siiri Rautio, Fernando Moura +5
Parallel-beam X-ray computed tomography (CT) and electrical impedance tomography (EIT) are two imaging modalities which stem from completely different underlying physics, and for d…
Nachman's reconstruction for the Calderon problem with discontinuous conductivities
George Lytle, Peter Perry, Samuli Siltanen
We show that Nachman's integral equations for the Calderón problem, derived for conductivities in , still hold for conductivities which are in a neighbor…
Revealing cracks inside conductive bodies by electric surface measurements
Andreas Hauptmann, Masaru Ikehata, Hiromichi Itou +1
An algorithm is introduced for using electrical surface measurements to detect and monitor cracks inside a two-dimensional conductive body. The technique is based on transforming t…
Propagation and recovery of singularities in the inverse conductivity problem
Allan Greenleaf, Matti Lassas, Matteo Santacesaria +2
The ill-posedness of Calderón's inverse conductivity problem, responsible for the poor spatial resolution of Electrical Impedance Tomography (EIT), has been an impetus for the deve…
A Direct Reconstruction Method for Anisotropic Electrical Impedance Tomography
Sarah Jane Hamilton, Matti Lassas, Samuli Siltanen
A novel computational, non-iterative and noise-robust reconstruction method is introduced for the planar anisotropic inverse conductivity problem. The method is based on bypassing…